[E] Poster
M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations
Mon. May 25, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)
Data assimilation is an approach to combine dynamical models and observations using principles of dynamical systems theory and statistical methods. Data assimilation is now widely used not only in meteorology and oceanography but also other geoscience fields such as hydrology, solid earth science, and space science. This session aims at providing an opportunity for discussion on data assimilation studies among researchers of various field of geosciences. We encourage contributions addressing novel methods and theoretical developments of data assimilation. Contributions dealing with useful applications of data assimilation are also welcome.
5:15 PM - 7:00 PM
*Shun Ohishi1, Takemasa Miyoshi1, Misako Kachi2 (1. RIKEN Center for Computational Science, 2. JAXA)
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5:15 PM - 7:00 PM
*Koji Terasaki1, Yasutaka Ikuta1, Takuya Kawabata1 (1. Meteorological Research Institute, Japan Meteorological Agency)
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5:15 PM - 7:00 PM
*Hiroki Tsuribe1, Shun Ohishi2, Shigenori Otsuka2, Takemasa Miyoshi2 (1. Graduate School of Science, Kyoto University, 2. RIKEN Center for Computational Science)
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5:15 PM - 7:00 PM
*Keiichi Kondo1, Kozo OKAMOTO1, Rigen Shimada2 (1. Meteorological Research Institute, 2. Japan Aerospace Exploration Agency)
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5:15 PM - 7:00 PM
*Minori Fukushima1, Takeshi Enomoto1, Saori Nakashita1 (1. Kyoto University)
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5:15 PM - 7:00 PM
*Michael Goodliff1, Takemasa Miyoshi1 (1. RIKEN Center for Computational Science)
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5:15 PM - 7:00 PM
*Shin ya Nakano1,2, Ryuho Kataoka3, Shigeru Fujita1, Nilam Yashwant Bhosale3, Aoi Nakamizo4, Akira Sessai Yukimatu5,2 (1. The Institute of Statistical Mathematics, 2. Graduate University for Advanced Studies, SOKENDAI, 3. Okinawa Institute of Science and Technology, 4. National Institute of Information and Communications Technology, 5. National Institute of Polar Research)
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